Please use this identifier to cite or link to this item: http://oaps.umac.mo/handle/10692.1/218
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dc.contributor.authorLI, TING WEI(李廷瑋)-
dc.date.accessioned2021-07-01T10:35:44Z-
dc.date.available2021-07-01T10:35:44Z-
dc.date.issued2020-
dc.identifier.citationLi, T. W. (2020). Neural Network Implementation by Hardware (OAPS)). Retrieved from University of Macau, Outstanding Academic Papers by Students Repository.en_US
dc.identifier.urihttp://oaps.umac.mo/handle/10692.1/218-
dc.description.abstractIn modern society, electronic devices such as smart phones, laptops, smart homes, etc. Are playing increasingly significant role in human’s daily life. The hottest topic in recent years, artificial intelligence which is the basic of intelligent life is embedded in these electronic devices. Artificial Neural Network is one of the areas of artificial intelligence, it provides a way to make machines think, recognize and make decisions as human being. However, it is not very common that implementing artificial neural network by hardware. In this project, a typical artificial neural network, which can recognize handwritten numbers is implemented by FPGA.en_US
dc.language.isoenen_US
dc.titleNeural Network Implementation by Hardwareen_US
dc.typeOAPSen_US
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.description.instructorDr. VAI MANG Ien_US
dc.contributor.facultyFaculty of Science and Technologyen_US
dc.description.programmeBachelor of Science in Electrical and Computer Engineeringen_US
Appears in Collections:FST OAPS 2020

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